Question 1

Questions that address structure usually distinguish between independent and dependent variables.

Accepted Answer

A) True 
 B)False

Question 2

Prediction of group membership is evaluated by ANOVA, ANCOVA, MANOVA, and MANCOVA.

Accepted Answer

A) True 
 B)False

Question 3

The Pearson correlation coefficient:

Accepted Answer

A)  Measures the association between two quantitative variables without distinction between the IV and DV. 
B)  Utilizes the relationship between the IV and DV to predict the score of the DV from the IV. 
C)  Both (a) and (b) are correct. 
D)  Neither (a) nor (b) is correct. 
A)  Measures the association between two quantitative variables without distinction between the IV and DV. 
B)  Utilizes the relationship between the IV and DV to predict the score of the DV from the IV. 
C)  Both (a) and (b) are correct. 
D)  Neither (a) nor (b) is correct.

Question 4

When testing for the significance of group differences, the number of IVs, the number of DVs, and the number of categories in the DV determine the appropriate test.

Accepted Answer

A) True 
 B)False

Question 5

When investigating the relationship between two or more quantitative variables, chi-square is the appropriate test.

Accepted Answer

A) True 
 B)False

Question 6

Factorial MANCOVA requires:

Accepted Answer

A)  Two or more IVs that are quantitative. 
B)  Two or more DVs that are categorical. 
C)  Two or more DVs that are quantitative. 
D)  Only (c) is correct. 
A)  Two or more IVs that are quantitative. 
B)  Two or more DVs that are categorical. 
C)  Two or more DVs that are quantitative. 
D)  Only (c) is correct.

Question 7

Factor analysis allows the researcher to explore the underlying structures of an instrument or data set and is often used to develop and test a theory.

Accepted Answer

A) True 
 B)False

Question 8

When conducting MANOVA, if DVs are:

Accepted Answer

A)  Correlated, then it is appropriate to conduct several ANOVAs. 
B)  Not correlated, then it is appropriate to conduct several ANOVAs. 
C)  Not correlated, then there is no relationship between the variables. 
D)  None of the above is correct. 
A)  Correlated, then it is appropriate to conduct several ANOVAs. 
B)  Not correlated, then it is appropriate to conduct several ANOVAs. 
C)  Not correlated, then there is no relationship between the variables. 
D)  None of the above is correct.

Question 9

Factor analysis and principal components analysis are different techniques, but they are very similar.

Accepted Answer

A) True 
 B)False

Question 10

Binary logistic regression requires:

Accepted Answer

A)  Two or more IVs (categorical/quantitative). 
B)  One DV (two categories). 
C)  Both (a) and (b) are correct. 
D)  None are correct. 
A)  Two or more IVs (categorical/quantitative). 
B)  One DV (two categories). 
C)  Both (a) and (b) are correct. 
D)  None are correct.

Questions that address structure usually distinguish between independent and dependent variables.

Prediction of group membership is evaluated by ANOVA, ANCOVA, MANOVA, and MANCOVA.

The Pearson correlation coefficient:

When testing for the significance of group differences, the number of IVs, the number of DVs, and the number of categories in the DV determine the appropriate test.

When investigating the relationship between two or more quantitative variables, chi-square is the appropriate test.

Factorial MANCOVA requires:

Factor analysis allows the researcher to explore the underlying structures of an instrument or data set and is often used to develop and test a theory.

When conducting MANOVA, if DVs are:

Factor analysis and principal components analysis are different techniques, but they are very similar.

Binary logistic regression requires:

Introduction to Multivariate Statistics

Pre-Analysis Data Screening

Factorial Analysis of Variance

Analysis of Covariance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Path Analysis

Factor Analysis

Discriminant Analysis

Logistic Regression

Filters

Exam 2: A Guide to Multivariate Techniques

Questions that address structure usually distinguish between independent and dependent variables.

Prediction of group membership is evaluated by ANOVA, ANCOVA, MANOVA, and MANCOVA.

The Pearson correlation coefficient:

When testing for the significance of group differences, the number of IVs, the number of DVs, and the number of categories in the DV determine the appropriate test.

When investigating the relationship between two or more quantitative variables, chi-square is the appropriate test.

Factorial MANCOVA requires:

Factor analysis allows the researcher to explore the underlying structures of an instrument or data set and is often used to develop and test a theory.

When conducting MANOVA, if DVs are:

Factor analysis and principal components analysis are different techniques, but they are very similar.

Binary logistic regression requires:

Introduction to Multivariate Statistics

Pre-Analysis Data Screening

Factorial Analysis of Variance

Analysis of Covariance

Multivariate Analysis of Variance and Covariance

Multiple Regression

Path Analysis

Factor Analysis

Discriminant Analysis

Logistic Regression

Filters